The ICU is also one of the units where medical errors are most likely to occur, given the complexity of care. ICU patients are severely ill and usually subject to multiple complex interventions and treatments, thus leading to a high risk of an adverse outcome.
In order to enable clinicians to take action and prevent such an outcome, the risk of patients' mortality has to be predicted not only as accurately as possible but also as early as possible; we refer to this concept as early ICU mortality prediction.
ICUs are therefore equipped with advanced diagnostic and therapeutic resources in order to enable quick response to changes in patients' health. Traditionally, hospitals use the collected Electronic Health Records (EHRs) to assess individual mortality risks in the ICU with the help of scores like APACHE [1]} and SAPS [2]}.
